Triple
T738283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-Royal Grammar |
E14983
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
General and Rational Grammar
General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
|
E87783
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: General and Rational Grammar | Statement: [Port-Royal Grammar, hasAlternativeName, General and Rational Grammar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General and Rational Grammar Context triple: [Port-Royal Grammar, hasAlternativeName, General and Rational Grammar]
-
A.
Standard Theory of generative grammar
The Standard Theory of generative grammar is an early framework in Noam Chomsky’s generative linguistics that formalizes how deep structures are transformed into surface structures to explain the syntax of natural languages.
-
B.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
-
C.
Cartesian Linguistics
Cartesian Linguistics is a 1966 book by Noam Chomsky that explores the historical roots of modern linguistics in rationalist philosophy, particularly the Cartesian tradition.
-
D.
Lectures on Government and Binding
Lectures on Government and Binding is a foundational book by Noam Chomsky that systematically presents the Government and Binding framework in generative syntax.
-
E.
Syntactic Structures
Syntactic Structures is a landmark 1957 book by linguist Noam Chomsky that revolutionized the study of language by introducing generative grammar and challenging behaviorist views of linguistics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: General and Rational Grammar Triple: [Port-Royal Grammar, hasAlternativeName, General and Rational Grammar]
Generated description
General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: General and Rational Grammar Target entity description: General and Rational Grammar is a 17th-century French linguistic treatise from the Port-Royal school that seeks to explain the universal, rational principles underlying all human languages.
-
A.
Standard Theory of generative grammar
The Standard Theory of generative grammar is an early framework in Noam Chomsky’s generative linguistics that formalizes how deep structures are transformed into surface structures to explain the syntax of natural languages.
-
B.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
-
C.
Cartesian Linguistics
Cartesian Linguistics is a 1966 book by Noam Chomsky that explores the historical roots of modern linguistics in rationalist philosophy, particularly the Cartesian tradition.
-
D.
Lectures on Government and Binding
Lectures on Government and Binding is a foundational book by Noam Chomsky that systematically presents the Government and Binding framework in generative syntax.
-
E.
Syntactic Structures
Syntactic Structures is a landmark 1957 book by linguist Noam Chomsky that revolutionized the study of language by introducing generative grammar and challenging behaviorist views of linguistics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5f1c9888190b2817138c6893cfe |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a618c248190ab1bcecba04d3da8 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64b4c8bb88190aa413a4bed256129 |
completed | March 3, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64beaafa0819099b02cca0f6c79b7 |
completed | March 3, 2026, 2:48 a.m. |
Created at: March 1, 2026, 7:37 p.m.